Community detection and Social Network analysis based on the Italian wars of the 15th century

Autor:	Fumanal-Idocin, J., Alonso-Betanzos, A., Cordón, O., Bustince, H., Minárová, M.
Rok vydání:	2020
Předmět:	Computer Science - Social and Information Networks Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
DOI:	10.1016/j.future.2020.06.030
Popis:	In this contribution we study social network modelling by using human interaction as a basis. To do so, we propose a new set of functions, affinities, designed to capture the nature of the local interactions among each pair of actors in a network. By using these functions, we develop a new community detection algorithm, the Borgia Clustering, where communities naturally arise from the multi-agent interaction in the network. We also discuss the effects of size and scale for communities regarding this case, as well as how we cope with the additional complexity present when big communities arise. Finally, we compare our community detection solution with other representative algorithms, finding favourable results. Comment: Corrections in: Revamped affinity section, conclusions and minor changes in the introduction. Also, the dynamic delta section is expanded a bit
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2007.02641 Zobrazit plný text záznamu View this record from Arxiv